Osteosarcoma is the malignant bone sarcoma that is characterized by widespread genomic disruption and the inclination for metastatic spread. Early detection of osteosarcoma increases the survival rate. Various osteosarcoma detection methods are adopted to detect osteosarcoma at an early stage, but evaluating the slides under the microscope to find the degree of tumor necrosis and tumor result is a major challenge in the medical sector. Hence, an effective detection method is developed using the proposed Fractional-Harris Hawks Optimization-based Generative Adversarial Network (F-HHO-based GAN) for detecting osteosarcoma at an early stage. Here, the proposed F-HHO is designed by the integration of Fractional Calculus and HHO, respectively. Accordingly, the classification of viable tumor, nontumor, and the necrotic tumor is carried out by GAN using the histology image slides. GAN is used to perform osteosarcoma detection based on the features extracted from the image through the process of cell segmentation. The training process of GAN is done using the proposed F-HHO algorithm. However, the proposed F-HHO obtained better performance using the metrics, namely, accuracy, sensitivity, and specificity with the values of 98%, 98%, and 98% for training percentage and 96.282%, 97.552%, and 95.651% for K-fold, respectively.
Now days there's lot of traffic on roads that people tend to scare a bit to commute at some peak times. All because of unstructured and undisciplined vehicle drivers which cause major accidents just for some silly mistakes they make while they drive. If we plan to go out, we just cancel our plans because of the hectic traffics a city road has. Why are we scared? Because of the irresponsiveness and carelessness of drivers and major thing is, time taking to travel is too high. If we travel with some elder medicated person, traffic would be the biggest problem for them. And for this reason, government planned to implement Metro Trains. But is that enough? I don't think so. Because of the curiosity we had, we came up with an idea. We proposed a simple solution for this problem. We developed a RC car that can drive itself to the specified location. The proposed system is to show that how a common man can easily afford to commute to work/home on car that can drive itself. And if this system works properly, then there would be instructed, structured and careful rides only. As there would be structured rides, traffic would be lot less as all goes systematically. By proposing this, all we have in mind was to increase the discipline, reduce the cost to commute, and make use of available resources efficiently.
bstract: Security and safety are growing in popularity as time goes on, and they are being enhanced and utilised to make our lives easier. Technology has now permeated every aspect of human life, so protecting the security of one's home, place of business, or organisation cannot be overlooked. Developing a smart receptionist with a smart lock system was mostly done for security reasons. When the front entrance of the house, business, or organisation is closed, this clever security system is employed to detect a visitor. The Raspberry Pi and Telegram bot are used in this setup to issue commands that operate the door lock. In this system, anytime a person approaches the door, the PIR sensor detects their presence, activates the camera, records a 5- second video of the individual, and sends a notification to the user via Telegram. The system will open the door if the owner permits entry, and the door will remain locked if the owner forbids entry using commands sent through the Telegram bot.
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